Health-related quality of life in systemic sclerosis before and after autologous haematopoietic stem cell transplant—a systematic review
Bibliographic record
Abstract
OBJECTIVES: In severe rapidly progressive SSc, autologous haematopoietic stem cell transplantation (AHSCT) allows significant improvements in overall and event-free survival. We undertook this study to identify, appraise and synthesize the evidence on health-related quality of life (HRQoL) before and after AHSCT for SSc. METHODS: We performed a systematic review of the literature, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, in PubMed and ScienceDirect from database inception to 1 February 2019. All articles with original HRQoL data were selected. RESULTS: The search identified 1080 articles, of which 8 were selected: 3 unblinded randomized controlled trials [American Scleroderma Stem Cell versus Immune Suppression Trial (ASSIST), Autologous Stem Cell Transplantation International Scleroderma, Scleroderma: Cyclophosphamide or Transplantation), 3 uncontrolled phase I or II trials and 2 cohort studies. HRQoL data from 289 SSc patients treated with AHSCT and 125 treated with intravenous CYC as a comparator with median 1.25-4.5 years follow-up were included. HRQoL was evaluated with the HAQ Disability Index (HAQ-DI; 275 patients), the 36-item Short Form Health Survey (SF-36; 249 patients) and the European Quality of Life 5-Dimensions questionnaire (EQ-5D; 138 patients). The quality of the studies was moderate to low. AHSCT was associated with significant improvement in the HAQ-DI (P = 0.02-<0.001), SF-36 Physical Component Summary score (P = 0.02-<0.0001) and EQ-5D index-based utility score (P < 0.001). The SF-36 Mental Component Summary score improved in the ASSIST (n = 19) and one small retrospective cohort (n = 30 patients, P = 0.005) but did not improve significantly in 2 randomized controlled trials (n = 200 patients, P = 0.1-0.91). CONCLUSION: AHSCT in severe SSc patients is associated with significant and durable improvement in physical HRQoL.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.011 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".